Life Sciences Data Cloud Solution Consultant

Veeva Systems; Boston (MA); Hybrid; USD 80,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision, and basiclife

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Job summary

Veeva Systems is seeking a Manager of Solution Consulting to drive adoption and growth of Veeva Data Cloud in pre-sales engagements. You will work with customers to build brand awareness, highlight product differentiation, and guide data assessments, focusing on Compass and HCP Access data products.

The role blends deep technical data expertise with a client-facing consultative approach, requiring experience with large datasets, SQL, and data product demonstrations.

Qualifications

• 8+ years of healthcare data and/or analytics experience, with deep knowledge in Oncology and Rare Disease.
• Experience working with commercial teams in life sciences and managing client engagements.
• Proven ability to engage all levels of client organizations.

Responsibilities

• Serve as go-to expert on Veeva Compass and HCP Access with focus on data products.
• Design and deliver custom data assessments and product demonstrations for key use cases.
• Contribute to pre-sales framework and standardized processes for scalable engagements.
• Manage multiple analytics projects to ensure on-time delivery.
• Lead thought leadership and contribute to product roadmap discussions.

Skills

Healthcare data experience

Client engagement

Communication/presentation

Education

Bachelor’s degree in life sciences/healthcare

Tools

SQL

Jira

Confluence

Tableau/Power BI

Job description

Veeva Systems is seeking a Manager of Solution Consulting to drive adoption and growth of Veeva Data Cloud in pre-sales engagements. You will work with customers to build brand awareness, highlight product differentiation, and guide data assessments, focusing on Compass and HCP Access data products.

The role blends deep technical data expertise with a client-facing consultative approach, requiring experience with large datasets, SQL, and data product demonstrations.